add waiting and comments

CHANGES.txt

-0.1.0: 2021 Jan 01
+0.1.0: 2021 Sep 15
 
-* fixed issue A
-
-* added feature B
-
-* updated thing C
-
-* removed widget D
+* added kws model trained on "yes, no, unknown"

examples/vad_and_kws/main.py

@@ -4,6 +4,7 @@ import pyaudio
 import scipy.io.wavfile as wav
 import threading
 from queue import Queue
+import time
 
 import torch
 torch.set_num_threads(1)
@@ -16,7 +17,7 @@ from tensorflow.keras.models import load_model
 
 # Configure
 vad_threshold = 0.8		# minimum confidence of the VAD to trigger KWS
-kws_threshold = 0.95	# minimum confidence of the KWS to detect a word
+kws_threshold = 0.8		# minimum confidence of the KWS to detect a word
 kws_required_size = 4	# number of chunks -1 to feed into the KWS
 frame_duration_ms = 250 # chunks size for the VAD in milliseconds (250ms is min)
 
@@ -68,11 +69,6 @@ CHANNELS = 1
 SAMPLE_RATE = 16000
 CHUNK = int(SAMPLE_RATE / 10)
 audio = pyaudio.PyAudio()
-stream = audio.open(format=FORMAT,
-					channels=CHANNELS,
-					rate=SAMPLE_RATE,
-					input=True,
-					frames_per_buffer=CHUNK)
 chunk_size = int(SAMPLE_RATE * frame_duration_ms / 1000.0)
 
 data = []
@@ -80,7 +76,17 @@ audio_int16 = []
 nu_voice_chunks = 0
 got_voice = False
 
-print("Started Recording")
+# wait a bit for libraries to load
+print("Loading libraries...")
+print("This may take up to 10 seconds!")
+time.sleep(7)
+stream = audio.open(format=FORMAT,
+					channels=CHANNELS,
+					rate=SAMPLE_RATE,
+					input=True,
+					frames_per_buffer=CHUNK)
+
+print("Listening...")
 while True:
 
 	# keep the last chunk so nothing gets lost
@@ -97,7 +103,7 @@ while True:
 
 	# trigger if voice is detected
 	if vad_outs >= vad_threshold and not got_voice:
-		print("I found something")
+		print("Voice detected! Recording...")
 		got_voice = True
 		data = []
 		data.append(last_chunk)